5 citations · 5 across the 1 of their papers we have counts for
3 papers
cs.CV2025
RaDL: Relation-aware Disentangled Learning for Multi-Instance Text-to-Image Generation
Geon Park, Seon Bin Kim, Gunho Jung +1
With recent advancements in text-to-image (T2I) models, effectively generating multiple instances within a single image prompt has become a crucial challenge. Existing methods, whi…
cs.CV2025★ 5 cited
Diversify and Conquer: Open-set Disagreement for Robust Semi-supervised Learning with Outliers
Heejo Kong, Sung-Jin Kim, Gunho Jung +1
Conventional semi-supervised learning (SSL) ideally assumes that labeled and unlabeled data share an identical class distribution, however in practice, this assumption is easily vi…
cs.CL2025
ACoRN: Noise-Robust Abstractive Compression in Retrieval-Augmented Language Models
Singon Kim, Gunho Jung, Seong-Whan Lee
Abstractive compression utilizes smaller langauge models to condense query-relevant context, reducing computational costs in retrieval-augmented generation (RAG). However,retrieved…